Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...

Statistical physics provides many tools to treat ecological models far from equilibrium. One of them, mean field theory, is appropriate as an initial step to a more realistic investigation of a ...

ABSTRACT: Objective: Renal dynamic imaging, as an important tool for assessing renal function, is commonly used to test the perfusion and excretory functions of the kidney. In clinical diagnosis, ...

A comprehensive Go library for handling IEC 61131-3 PLCopen XML format with complete structure definitions generated from XSD schema. Supports both XML and JSON serialization for industrial automation ...

SCADE is an end-to-end, real-time anomaly-detection framework for solar-wind data. It uses a 1D-convolutional autoencoder to learn “normal” patterns in satellite-measured plasma and magnetic-field ...

Abstract: To apply emotion recognition and classification technology to the field of human-robot interaction, it is necessary to implement fast data processing and model weight reduction. This paper ...

ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...

Abstract: Electrocardiograms (ECG) are vital for diagnosing various cardiac conditions but are often corrupted by noise from multiple sources, which can hinder accurate interpretation. Denoising ECG ...

If you grew up in the '80s, you were probably weaned on Tetris and were thrilled when the modern-day equivalent, Block Blast, came out on April 3, 2022. But is this time-sucking pastime any good for ...